Trainual
The training manual for your team. The playbook for your business —SOPs, Onboarding, Training, Process, Knowledge, all-in-one —
Integrate the Trainual API with the Go API
Setup the Trainual API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Trainual and Go remarkably fast. Free for developers.
Popular Trainual and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Trainual#
The Trainual API allows you to automate processes around creating, managing, and reporting on training within your organization. With this API on Pipedream, you can build workflows for managing users, subjects, topics, tests, and more, streamlining the onboarding and continuous education processes. By integrating Trainual with other apps on Pipedream, you can create dynamic, cross-functional automations that keep your team learning in sync with other business processes.
Connect Trainual#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trainual: {
type: "app",
app: "trainual",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.trainual.com/v1/users`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.trainual.$auth.email}&${this.trainual.$auth.account_id}`,
password: `${this.trainual.$auth.password}`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}